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IT Solution Architect - AI

Job Description - IT Solution Architect - AI

Description

About Infotel IT Consulting 

Infotel IT Consulting partners with global enterprises across BFSI, Automotive, Aviation, and Manufacturing to deliver end-to-end technology and talent solutions. We are expanding our solutioning capability to embed AI-driven architecture into client engagements, and are looking for an experienced IT Solution Architect to lead this charge. 

Role Summary 

The IT Solution Architect – AI will design and own end-to-end technical architectures that embed AI/ML and Generative AI capabilities into enterprise solutions. This role bridges business requirements, cloud/data engineering, and applied AI to deliver scalable, secure, and production-ready systems for our enterprise clients. 

Key Responsibilities 

  • Design end-to-end IT solution architectures that integrate AI/ML, Generative AI (LLMs), and automation into client platforms. 
  • Translate business and client requirements into scalable, secure, and cost-effective technical architectures. 
  • Lead architecture reviews, technology evaluations, and proof-of-concepts for AI-enabled solutions. 
  • Define data architecture and integration strategy (APIs, pipelines, data lakes) to support AI/ML workloads. 
  • Collaborate with data science, engineering, and DevOps teams to operationalize models (MLOps/LLMOps). 
  • Own solution documentation, including HLD/LLD, architecture diagrams, and technical proposals for RFPs/RFIs. 
  • Guide adoption of cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI) and open-source AI frameworks. 
  • Ensure solutions meet security, compliance, scalability, and performance standards. 
  • Act as a technical advisor to clients and internal stakeholders, presenting architecture recommendations. 
  • Mentor engineering teams on AI-first design principles and best practices. 

Required Skills & Experience 

  • 8–12+ years in IT architecture, solution design, or enterprise application development. 
  • Proven experience architecting solutions involving AI/ML, NLP, or Generative AI (LLMs, RAG, agentic frameworks). 
  • Strong grounding in cloud platforms — Azure, AWS, or GCP — and their AI/ML service stacks. 
  • Hands-on exposure to Python and AI/ML frameworks (TensorFlow, PyTorch, LangChain, or similar). 
  • Solid understanding of microservices, API design, containerization (Docker/Kubernetes), and DevOps/MLOps pipelines. 
  • Experience with data architecture — SQL/NoSQL databases, data warehousing, and vector databases. 
  • Familiarity with enterprise integration patterns and legacy system modernization. 
  • Excellent stakeholder management, technical presentation, and pre-sales solutioning skills. 
  • Prior experience in a client-facing consulting or IT services environment preferred. 

Preferred Qualifications 

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 
  • Certifications such as TOGAF, Azure/AWS Solutions Architect, or AI/ML specialty certifications. 
  • Experience in BFSI, Automotive, Aviation, or Manufacturing domains is a strong plus. 

What We Offer 

  • Opportunity to shape AI-first solution architecture for marquee global clients. 
  • Competitive compensation aligned with experience and market benchmarks. 
  • A collaborative, growth-oriented consulting environment with clear leadership pathways. 
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